The Institute for Advanced Study at AI4I opens in Turin with Marco Pavone and Riccardo Mariani
On June 30, 2025, AI4I inaugurates its Institute for Advanced Study (IAS) with the first public seminar hosted at OGR Tech, Turin, and realized with the support of Fondazione Compagnia di San Paolo.
The opening event will feature two outstanding speakers from NVIDIA and Stanford University:
- Marco Pavone, Associate Professor of Aeronautics and Astronautics at Stanford University and Senior Director, Autonomous Vehicle Research at NVIDIA
- Riccardo Mariani, Vice President, Safety at NVIDIA
IAS Seminar #01
Ensuring Physical AI Safety in AI-enabled Autonomous Systems
Turin / OGR / Mezzanino
30.06.2025, 10:30 AM
“Foundation models, trained on vast and diverse data encompassing the human experience, are at the heart of the ongoing AI revolution influencing the way we create, problem solve, and work. These models, and the lessons learned from their construction, can also be applied to the way we develop a similarly transformative technology, autonomous vehicles (AVs). In this talk, I will highlight recent research efforts towards rethinking elements of an AV program both in the vehicle and in the data center, with an emphasis on (1) composing ingredients for universal and controllable end-to-end simulation, (2) architecting autonomy stacks that leverage foundation models to generalize to long-tail events, and (3) ensuring safety with foundation models in the loop.”
More on the IAS: ai4i.it/ias
The event will also be available via Zoom, upon registration at the following link
The IAS is the intellectual and scientific platform of AI4I, designed to host international researchers, foster advanced studies in artificial intelligence, and connect cutting-edge scientific thinking with real-world challenges. Created in collaboration with Fondazione Compagnia di San Paolo, the IAS will promote seminars, public lectures, residencies, and interdisciplinary dialogue.
This first seminar, open to researchers, PhD students, engineers, and AI professionals, explores the evolving landscape of autonomous systems and the role of foundation models in ensuring safety and generalization.
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